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Runtime error
| import streamlit as st | |
| from torch.nn import Softmax | |
| from model import ArxivModel, load_model | |
| from tokenizer import get_tokenizer | |
| from lables import num_to_classes, taxonomy | |
| from parser import get_text_title | |
| model = load_model() | |
| tokenizer = get_tokenizer() | |
| arxiv_model = ArxivModel(model, tokenizer) | |
| softmax = Softmax(dim=1) | |
| st.markdown("### Classification of article topics") | |
| col1, col2 = st.columns(2) | |
| text = "" | |
| frame = "text" | |
| option = st.selectbox('Choose to write title yourself or input url/id of article', | |
| ('Write the title and summary yourself', | |
| 'Input url or id of article')) | |
| if option == 'Write the title and summary yourself': | |
| frame = 'text' | |
| else: | |
| frame = 'url' | |
| if frame == 'text': | |
| title_text = st.text_input("Write title of article", key='arxiv_title_input') | |
| summary_text = st.text_area("Write summary of article (optional)", key='arxiv_sum_input') | |
| click_button_text = st.button('Submit', key=1) | |
| if click_button_text and title_text.strip() == "": | |
| text = "" | |
| if summary_text.strip() != "": | |
| st.markdown(f'<p style="color:#FF2D00;font-size:18px">Please, input title</p>', unsafe_allow_html=True) | |
| elif click_button_text and title_text.strip() != "" and summary_text.strip() != "": | |
| text = title_text.strip() + '\t' + summary_text.strip() | |
| elif click_button_text and title_text.strip() != "": | |
| text = title_text.strip() | |
| text = text.strip() | |
| elif frame == 'url': | |
| id_url = st.text_input("Write article's url or id", key='arxiv_id_input').strip() | |
| click_button_url = st.button('Submit', key=1) | |
| if click_button_url and id_url != "": | |
| res = get_text_title(id_url) | |
| if res is not None: | |
| text = res[0].strip() + '\t' + res[1].strip() | |
| text = text.strip() | |
| else: | |
| st.markdown(f'<p style="color:#FF2D00;font-size:18px">Incorrect url or id</p>', unsafe_allow_html=True) | |
| text = "" | |
| if text.lower() == 'i want a cake': | |
| st.markdown("# :cake:") | |
| elif text != "": | |
| idxs = arxiv_model.get_idx_class(text, thr=0.95) | |
| print(len(idxs)) | |
| if len(idxs) > 80: | |
| st.markdown("#### Sorry, model can't classify the article with high confidence") | |
| else: | |
| idxs = idxs[:10] | |
| st.markdown("#### The model have defined:") | |
| for idx, prob in idxs: | |
| if taxonomy.get(num_to_classes[idx], -1) != -1: | |
| st.markdown("{} \t {}%".format(taxonomy.get(num_to_classes[idx], -1), round(prob * 100, 1))) | |
| else: | |
| st.markdown("") | |